A methodology for evacuation route planning inside buildings using geospatial technology

Evacuation route planning is a fundamental task for building engineering projects. Safety regulations are established so that all occupants are driven on time out of a building to a secure place when faced with an emergency situation. As an example, Spanish building code requires the planning of evacuation routes on large and, usually, public buildings. Engineers often plan these routes on single building projects, repeatedly assigning clusters of rooms to each emergency exit in a trial-and-error process. But problems may arise for a building complex where distribution and use changes make visual analysis cumbersome and sometimes unfeasible. This problem could be solved by using well-known spatial analysis techniques, implemented as a specialized software able to partially emulate engineer reasoning. In this paper we propose and test an easily reproducible methodology that makes use of free and open source software components for solving a case study. We ran a complete test on a building floor at the University of Alicante (Spain). This institution offers a web service (WFS) that allows retrieval of 2D geometries from any building within its campus. We demonstrate how geospatial technologies and computational geometry algorithms can be used for automating the creation and optimization of evacuation routes. In our case study, the engineers’ task is to verify that the load capacity of each emergency exit does not exceed the standards specified by Spain’s current regulations. Using Dijkstra’s algorithm, we obtain the shortest paths from every room to the most appropriate emergency exit. Once these paths are calculated, engineers can run simulations and validate, based on path statistics, different cluster configurations. Techniques and tools applied in this research would be helpful in the design and risk management phases of any complex building project.

Effects of message appeal and service type in CSR communication strategies

Studies highlight the importance of corporate social responsibility (CSR) for companies' stakeholders. Consumers, however, are often unaware of such initiatives. Understanding how to effectively communicate socially responsible initiatives is an important challenge for both researchers and managers, who invest considerable resources in CSR initiatives. This study examines consumers' responses to two types of CSR initiatives (environment-related and employee-based) using two types of message appeals (emotional and rational) across two service types (hedonic and utilitarian). Responses provide data on consumers' awareness of CSR initiatives, attitudes toward the company, perceived company uniqueness, emotional response, and attributions of company motives to engage in CSR activities. Rational appeals more effectively communicate environment-related CSR initiatives, whereas emotional appeals more effectively communicate employee-based CSR initiatives. Effects on consumers' attributions of company motives to engage in CSR are significant in both service types. Finally, rational message appeals affect consumers' CSR awareness and emotional responses in utilitarian service.

A new approach for semi-automatic rock mass joints recognition from 3D point clouds

Rock mass characterization requires a deep geometric understanding of the discontinuity sets affecting rock exposures. Recent advances in Light Detection and Ranging (LiDAR) instrumentation currently allow quick and accurate 3D data acquisition, yielding on the development of new methodologies for the automatic characterization of rock mass discontinuities. This paper presents a methodology for the identification and analysis of flat surfaces outcropping in a rocky slope using the 3D data obtained with LiDAR. This method identifies and defines the algebraic equations of the different planes of the rock slope surface by applying an analysis based on a neighbouring points coplanarity test, finding principal orientations by Kernel Density Estimation and identifying clusters by the Density-Based Scan Algorithm with Noise. Different sources of information —synthetic and 3D scanned data— were employed, performing a complete sensitivity analysis of the parameters in order to identify the optimal value of the variables of the proposed method. In addition, raw source files and obtained results are freely provided in order to allow to a more straightforward method comparison aiming to a more reproducible research.

Percepción de las trabajadoras inmigrantes del servicio doméstico sobre los efectos de la regulación del sector en España

Objetivo: Explorar las percepciones de las mujeres inmigrantes trabajadoras del servicio doméstico sobre la puesta en vigor en España del Real Decreto 1620/2011, que regula la relación laboral del servicio del hogar familiar, y su efecto en sus condiciones de empleo. Métodos: Estudio exploratorio mediante análisis de contenido cualitativo. Se realizaron tres grupos de discusión con mujeres inmigrantes (colombianas, ecuatorianas y marroquíes). Resultados: A pesar de valorar positivamente los beneficios teóricos de la nueva normativa, las mujeres inmigrantes han identificado barreras legales y económicas para conseguir un contrato, ser dadas de alta en la seguridad social y que las personas empleadoras asuman su coste, en especial en el caso de las trabajadoras contratadas por horas. Estas dificultades influyen en la posibilidad de legalizar su situación. La confluencia con la crisis económica ha emergido como un problema que dificulta su cumplimiento. Conclusiones: Aunque el nuevo régimen ha favorecido la creación de puestos de trabajo con mayores derechos laborales en el sector, las mujeres inmigrantes perciben que su puesta en marcha en el actual contexto de crisis económica no ha contribuido a mejorar sus condiciones de empleo.

Redes sociales científicas. La Web social al servicio de la investigación

Las redes sociales pueden considerarse como comunidades científicas que utilizan tecnologías participativas y comunicativas para el intercambio de información. Internet es el medio que, en esta ocasión, potencia las relaciones entre especialistas con la finalidad de desarrollar sus actividades de investigación. A lo largo de esta investigación se realiza una conceptualización de las redes sociales científicas. Se profundiza en las ventajas e inconvenientes que presentan y cuáles son sus ámbitos de aplicación. Finalmente se consigue obtener cuáles han sido las redes sociales más importantes dentro del ámbito educativo y las grandes ventajas que podrían proporcionar.